Dataset Versions
v5
2023-10-06 3:11pm
Generated on Oct 6, 2023
11764 Total Images
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Dataset Split
Train Set 83%
9736Images
Valid Set 8%
896Images
Test Set 10%
1132Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 2
Flip: Horizontal
Shear: ±5° Horizontal, ±17° Vertical
Saturation: Between -26% and +26%
Brightness: Between -22% and +22%
Exposure: Between -18% and +18%
Noise: Up to 1% of pixels